Whether we like it or not, AI is the future. Yet, if you keep fighting it you will be left behind. So here I will document anything I pass by related to AI.

But first, one day I received a question from someone who has zero knowledge about technology. The Question is What is ChatGPT or Deepseek? My answer was, It's someone who has more knowledge than you, BUT serves you.

Now, following the KISS principle we begin.

BUT!!! keep in mind, work with AI, rather than copying & pasting with eyes closed. 'BUILD with AI, UPSCALE with Human Experience'

• LLMs In Short
• Transformers
• Artificial Intelligence VS Machine Learning
• AI Fluency
• AI Types
• AI Agent
• AI Data Types
• ML Learning Types
• Neural Network Architecture
• AI system Architecture
• Building an LLM
• AI Challenges
• Top-P and Top-K
• Context Window

• Meaning and Features

• Dense Models

• Mixture Of Experts MoE

• GPT

• Multi-Token Prediction MTP

• BERT

• XLNeT

• Speculative decoding

• Huggingface

  • Hugging Face Model Downloader

• Models File Format

• LLMs Training

• Preceptrons AKA Neurons
• Multi-Layer Preceptrons 'MLP' AKA Feed-Forward Networks 'FFN'
• Loos Functions

• Generative AI Definition
• Generative AI Techniques

• What is RAG?
• Victor Stores OR VictorDB
• RAG Stages
• Document loader
• Text Splitting/Chunking
• LangChain

• Prompt Engineering
• Prompt Engineering Techniques
• Prompt Engineering Best Practice
• Prompt Engineering Troubleshooting Guide
• Loop Engineering

• ICM_vs_OKF

• Introduction to MCP

• Intro to Local AI

• Research Mode
• Enterprise Search
• Claude Code
• Claude Cowork
• Summary
• 01_Courses

• 00_Intro
• Config
• Usage

• graphify

• Calculate Requirements: Roughly estimate the GBs required to run a model.
• Preceptrons Calculator
• Multi Layer Preceptrons 'MLP'
• Small LLM Training

• Prompt Engineering VS RAG VS Fine-Tuning
• Python
• API
• Inference
• Logits